Head of Intelligence Products
Some ghost-posting signals
- open for 44 days (30+ days starts to look stale)
- 46 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
See your fit for this role and apply with a truthfully tailored résumé.
About the role
REQUIREMENTS
10+ years of experience in Data Engineering, Data Architecture, Platform Engineering, or related leadership roles
Proven experience building and scaling modern cloud-based data platforms in enterprise environments
Strong expertise with Snowflake, lakehouse architectures, graph databases, vector databases, and modern data platforms
Deep understanding of knowledge graphs, ontology design, semantic modeling, metadata management, and enterprise data architecture
Experience building AI-ready data platforms supporting LLMs, Retrieval-Augmented Generation (RAG), vector search, and AI applications
Experience designing enterprise APIs, developer platforms, and data products for external customers
Strong knowledge of data governance, lineage, privacy, security, and enterprise access control
Experience defining enterprise data strategy and leading architecture decisions
Hands-on experience with modern ETL/ELT pipelines, orchestration frameworks, and production data services
Experience working with cross-functional Product, Engineering, AI, and Commercial teams
Strong leadership, stakeholder management, and communication skills
Experience building and leading high-performing technical teams
Upper-Intermediate or higher level of English
RESPONSIBILITIES
Define and lead the enterprise intelligence product strategy, architecture, and operating model
Drive the evolution of a modern enterprise data platform supporting AI, analytics, and commercial data products
Design scalable data architecture, semantic models, and knowledge graph capabilities
Define enterprise ontology, metadata, governance, and interoperability standards
Lead the development of AI-ready data services, APIs, and developer-facing platforms
Define architecture supporting structured, semi-structured, and unstructured data at scale
Partner with Engineering, AI, Product, and Commercial teams to transform data assets into reusable intelligence products
Establish standards for data quality, lineage, provenance, security, and lifecycle management
Define commercialization requirements for enterprise data products, including APIs, licensing models, access control, SLAs, and observability
Evaluate and recommend technologies across cloud data platforms, graph databases, vector stores, orchestration, and AI infrastructure
Lead architecture decisions supporting AI-native applications, LLM integrations, and semantic search capabilities
Build and mentor a high-performing team of data architects, engineers, and platform specialists
Act as a strategic technical advisor for executive stakeholders and drive long-term data platform vision
Stop applying to ghosts.
OyaPilot surfaces only verified, real jobs, scores your fit, and tailors your application truthfully.